Why it matters
Because an AI engine can cite a page that never ranked, citation is a distinct outcome worth engineering for on its own. The most citable assets are reference materials — glossaries, spec databases, cross-reference tables — the exact data a distributor already owns in its PIM and ERP but rarely publishes in a form an engine can quote.
Not to be confused with citation building
In local SEO, “citations” are NAP (name, address, phone) listings in directories. Citation engineering is unrelated — it is about being quoted as a source inside AI-generated answers.
In practice
A hydraulics distributor notices that when buyers ask ChatGPT or Google AI Overviews 'what's the SAE J517 equivalent for this Parker hose,' the answers cite generic blog roundups instead of the distributor's own cross-reference data. Applying citation engineering, the team restructures its spec and cross-reference pages into self-contained, entity-explicit passages (named part numbers, standards, a clearly attributed source line) so answer engines quote the distributor's domain by name. They measure success by attribution — being the cited source — rather than blue-link rank, which matters because Ahrefs found only ~12% of AI-cited URLs rank in Google's top 10 for the same prompt.